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Fractal Process Intelligence MCP Server

Developer ToolsLow Risk9.9MCP RegistryRemote
Free

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Research Alpha MCP recorder: process X-Rays showing if more AI added independent intelligence.

About

Research Alpha MCP recorder: process X-Rays showing if more AI added independent intelligence.

Remote endpoints: streamable-http: https://mcp.fractalinfinity.io/mcp

Security Report

9.9
Low Risk9.9Low Risk

Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

6 tools verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-chevy155-fractal-process-intelligence-mcp": {
      "url": "https://mcp.fractalinfinity.io/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Fractal Process Intelligence — Research Alpha

Fractal measures whether additional AI actually created additional intelligence.

Fractal is not trying to make AI smarter. It observes research process and produces an X-Ray of what a polished final answer may hide.

Primary question: Did additional AI actually create additional independent intelligence?

This repository is the public distribution surface for the Fractal Research MCP (recorder/observer). The live remote endpoint is already hosted; this repo documents how to connect and give feedback.

Research Alpha: This is an active research experiment, not a validated commercial product.


What it does

Fractal Process Intelligence MCP is recorder/observer only.

Compatible AI clients can record observable research-process artifacts:

  • participating agents
  • meaningful sources
  • claims
  • uncertainty
  • disagreement
  • tool usage

Then finish_run compiles a process X-Ray (hosted report URL).

Public product page: fractalinfinity.io/research-lab.html
Sample X-Ray: fractalinfinity.io/report/sample.html


What it does NOT do

  • Call AI models (no Anthropic / OpenAI / Gemini inference)
  • Buy model inference on your behalf
  • Require provider API keys
  • Inspect hidden chain-of-thought
  • Automatically spawn agents
  • Estimate Claude/OpenAI billing or token dollar cost

Health check advertises "inference":"none".


Public MCP endpoint

https://mcp.fractalinfinity.io/mcp

Health: https://mcp.fractalinfinity.io/health

Current recorder tools

ToolPurpose
fractal_start_runOpen a run
fractal_record_agentRecord agent identity / optional metadata
fractal_record_sourceRecord a cited source + lineage
fractal_record_claimRecord claim stance
fractal_record_toolRecord tool-call evidence
fractal_finish_runFinalize → X-Ray URL

Claude Desktop (Windows) alpha setup

  1. Claude Desktop → Settings → Developer → Edit Config
  2. Merge the MCP entry below (do not wipe other config keys).
  3. Save.
  4. Fully quit Claude (system tray → Quit).
  5. Reopen Claude.
  6. Settings → Developer should show fractal-process-intelligence running.
{
  "mcpServers": {
    "fractal-process-intelligence": {
      "command": "C:\\Program Files\\nodejs\\npx.cmd",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.fractalinfinity.io/mcp"
      ]
    }
  }
}

See also: examples/claude-desktop.mcp.fragment.json

Microsoft Store builds of Claude may store config under a package LocalCache path; prefer Edit Config so Claude opens the file it actually reads. Use the full npx.cmd path on Windows.


Example research instruction

Paste into a new research conversation after connecting:

Use Fractal Process Intelligence to record this research run.

Record the participating agents, meaningful sources, important claims,
uncertainty, disagreement and significant tool usage.

Finish the run and return the Fractal X-Ray URL.

Do not interpret the X-Ray for me before I open it.

Then ask your normal research question. Read the AI’s final answer first. Open the X-Ray second.


Privacy / security boundary

Fractal records only artifacts explicitly sent through its MCP tools.

It does not automatically record every Claude (or other) conversation. For normal chats, do not start a Fractal run / do not invoke its tools.


Feedback (the research question)

Open a GitHub Issue or reply in discussions.

Please answer:

  1. Did the X-Ray reveal something consequential you would not have known from the final AI answer alone?
  2. Would you want this attached to your normal research or agent workflow?

Optional: what was confusing or misleading?


Links


License

MIT — see LICENSE.

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